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Proteintech c met
C Met, supplied by Proteintech, used in various techniques. Bioz Stars score: 94/100, based on 65 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Related Articles

Western Blot:

Article Title: The HGF-MET axis coordinates liver cancer metabolism and autophagy for chemotherapeutic resistance
Article Snippet: .. Antibodies were obtained from the indicated sources: anti-MET (ThermoFisher, 700261, for WB; Proteintech Group, 25869-1-AP, for immunoprecipitation; Alphamab Co. Ltd, 5D5, for therapy), anti-p-MET Y1003 (Cell Signaling Technology, 3135), anti-p-MET Y1234/1235 (Cell Signaling Technology, 3077, for WB and immunohistochemistry [IHC]), anti-p-MET Y1349 (Cell Signaling Technology, 3133), anti-p-MET Y1356 (Abcam, ab73992), anti-p-MET Y1365 (Santa Cruz Biotechnology, sc-377548), anti-p-tyrosine (Cell Signaling Technology, 8954, for WB and IP), anti-PDHA1/PDH-E1α (Santa Cruz Biotechnology, sc-377092, for WB and IP), anti-DLAT/PDC-E2 (Santa Cruz Biotechnology, sc-271534, for WB and IP), anti-PDHX/E3BP (Santa Cruz Biotechnology, sc-377255, for WB and IP), anti-GLS/GLS1 (Abcam, ab93434, for WB and IP), anti-GLS2 (Abcam, ab150474), anti-GLUL/GS (Abcam, ab64613), anti-PKM/PKM2 (Santa Cruz Biotechnology, sc-365684), anti-LDHA (Santa Cruz Biotechnology, sc-137243), anti-SLC2A1/GLUT1 (Proteintech Group, 21829-1-AP), anti-SLC2A2/GLUT2 (Proteintech Group, 20436-1-AP), anti-SLC2A3/GLUT3 (Proteintech Group, 20403-1-AP), anti-SLC2A4/GLUT4 (Abgent, AP20792a), anti-SLC7A5/LAT1 (Proteintech Group, 13752–1-AP), anti-SLC7A8/LAT2 (Santa Cruz Biotechnology, sc-293242), anti-SLC8A1/SNAT1 (Proteintech Group, 12039-1-AP), anti-SLC8A3/SNAT3 (Proteintech Group, 14315-1-AP), anti-SLC1A5/ASCT2 (Abcam, ab187692), anti-MTOR (Cell Signaling Technology, 9862), Autophagy Antibody Sampler Kit (anti-BECN1, anti-ATG7, anti-ATG5, anti-ATG16L1) (Cell Signaling Technology, 4445), anti-LC3B (Novus, NB100-2220), anti-SQSTM1 (MBL, PM045, for WB and IP; Santa Cruz Biotechnology, sc-28359, for IHC), anti-ATG13 (ABclonal, A0690), anti-ULK1 (Abcam, ab128859), anti-PIK3C3/Vps34 (Abcam, ab124905), anti-UVRAG (Abcam, ab174550), anti-RB1CC1 (Proteintech Group, 17250-1-AP), anti-RUBCN/rubicon (Proteintech Group, 21444-1-AP), anti-RPTOR/raptor (Proteintech Group, 20984-1-AP), anti-Flag (Sigma, F1804), anti-GFP (Santa Cruz Biotechnology, sc-81045), anti-ACTB (Proteintech Group, HRP-60008), anti-rabbit IgG (HRP conjugated; GeneTex, GTX221666-01), and anti-mouse IgG (HRP conjugated; GeneTex, GTX221667-01). ..

Immunoprecipitation:

Article Title: The HGF-MET axis coordinates liver cancer metabolism and autophagy for chemotherapeutic resistance
Article Snippet: .. Antibodies were obtained from the indicated sources: anti-MET (ThermoFisher, 700261, for WB; Proteintech Group, 25869-1-AP, for immunoprecipitation; Alphamab Co. Ltd, 5D5, for therapy), anti-p-MET Y1003 (Cell Signaling Technology, 3135), anti-p-MET Y1234/1235 (Cell Signaling Technology, 3077, for WB and immunohistochemistry [IHC]), anti-p-MET Y1349 (Cell Signaling Technology, 3133), anti-p-MET Y1356 (Abcam, ab73992), anti-p-MET Y1365 (Santa Cruz Biotechnology, sc-377548), anti-p-tyrosine (Cell Signaling Technology, 8954, for WB and IP), anti-PDHA1/PDH-E1α (Santa Cruz Biotechnology, sc-377092, for WB and IP), anti-DLAT/PDC-E2 (Santa Cruz Biotechnology, sc-271534, for WB and IP), anti-PDHX/E3BP (Santa Cruz Biotechnology, sc-377255, for WB and IP), anti-GLS/GLS1 (Abcam, ab93434, for WB and IP), anti-GLS2 (Abcam, ab150474), anti-GLUL/GS (Abcam, ab64613), anti-PKM/PKM2 (Santa Cruz Biotechnology, sc-365684), anti-LDHA (Santa Cruz Biotechnology, sc-137243), anti-SLC2A1/GLUT1 (Proteintech Group, 21829-1-AP), anti-SLC2A2/GLUT2 (Proteintech Group, 20436-1-AP), anti-SLC2A3/GLUT3 (Proteintech Group, 20403-1-AP), anti-SLC2A4/GLUT4 (Abgent, AP20792a), anti-SLC7A5/LAT1 (Proteintech Group, 13752–1-AP), anti-SLC7A8/LAT2 (Santa Cruz Biotechnology, sc-293242), anti-SLC8A1/SNAT1 (Proteintech Group, 12039-1-AP), anti-SLC8A3/SNAT3 (Proteintech Group, 14315-1-AP), anti-SLC1A5/ASCT2 (Abcam, ab187692), anti-MTOR (Cell Signaling Technology, 9862), Autophagy Antibody Sampler Kit (anti-BECN1, anti-ATG7, anti-ATG5, anti-ATG16L1) (Cell Signaling Technology, 4445), anti-LC3B (Novus, NB100-2220), anti-SQSTM1 (MBL, PM045, for WB and IP; Santa Cruz Biotechnology, sc-28359, for IHC), anti-ATG13 (ABclonal, A0690), anti-ULK1 (Abcam, ab128859), anti-PIK3C3/Vps34 (Abcam, ab124905), anti-UVRAG (Abcam, ab174550), anti-RB1CC1 (Proteintech Group, 17250-1-AP), anti-RUBCN/rubicon (Proteintech Group, 21444-1-AP), anti-RPTOR/raptor (Proteintech Group, 20984-1-AP), anti-Flag (Sigma, F1804), anti-GFP (Santa Cruz Biotechnology, sc-81045), anti-ACTB (Proteintech Group, HRP-60008), anti-rabbit IgG (HRP conjugated; GeneTex, GTX221666-01), and anti-mouse IgG (HRP conjugated; GeneTex, GTX221667-01). ..

Immunohistochemistry:

Article Title: The HGF-MET axis coordinates liver cancer metabolism and autophagy for chemotherapeutic resistance
Article Snippet: .. Antibodies were obtained from the indicated sources: anti-MET (ThermoFisher, 700261, for WB; Proteintech Group, 25869-1-AP, for immunoprecipitation; Alphamab Co. Ltd, 5D5, for therapy), anti-p-MET Y1003 (Cell Signaling Technology, 3135), anti-p-MET Y1234/1235 (Cell Signaling Technology, 3077, for WB and immunohistochemistry [IHC]), anti-p-MET Y1349 (Cell Signaling Technology, 3133), anti-p-MET Y1356 (Abcam, ab73992), anti-p-MET Y1365 (Santa Cruz Biotechnology, sc-377548), anti-p-tyrosine (Cell Signaling Technology, 8954, for WB and IP), anti-PDHA1/PDH-E1α (Santa Cruz Biotechnology, sc-377092, for WB and IP), anti-DLAT/PDC-E2 (Santa Cruz Biotechnology, sc-271534, for WB and IP), anti-PDHX/E3BP (Santa Cruz Biotechnology, sc-377255, for WB and IP), anti-GLS/GLS1 (Abcam, ab93434, for WB and IP), anti-GLS2 (Abcam, ab150474), anti-GLUL/GS (Abcam, ab64613), anti-PKM/PKM2 (Santa Cruz Biotechnology, sc-365684), anti-LDHA (Santa Cruz Biotechnology, sc-137243), anti-SLC2A1/GLUT1 (Proteintech Group, 21829-1-AP), anti-SLC2A2/GLUT2 (Proteintech Group, 20436-1-AP), anti-SLC2A3/GLUT3 (Proteintech Group, 20403-1-AP), anti-SLC2A4/GLUT4 (Abgent, AP20792a), anti-SLC7A5/LAT1 (Proteintech Group, 13752–1-AP), anti-SLC7A8/LAT2 (Santa Cruz Biotechnology, sc-293242), anti-SLC8A1/SNAT1 (Proteintech Group, 12039-1-AP), anti-SLC8A3/SNAT3 (Proteintech Group, 14315-1-AP), anti-SLC1A5/ASCT2 (Abcam, ab187692), anti-MTOR (Cell Signaling Technology, 9862), Autophagy Antibody Sampler Kit (anti-BECN1, anti-ATG7, anti-ATG5, anti-ATG16L1) (Cell Signaling Technology, 4445), anti-LC3B (Novus, NB100-2220), anti-SQSTM1 (MBL, PM045, for WB and IP; Santa Cruz Biotechnology, sc-28359, for IHC), anti-ATG13 (ABclonal, A0690), anti-ULK1 (Abcam, ab128859), anti-PIK3C3/Vps34 (Abcam, ab124905), anti-UVRAG (Abcam, ab174550), anti-RB1CC1 (Proteintech Group, 17250-1-AP), anti-RUBCN/rubicon (Proteintech Group, 21444-1-AP), anti-RPTOR/raptor (Proteintech Group, 20984-1-AP), anti-Flag (Sigma, F1804), anti-GFP (Santa Cruz Biotechnology, sc-81045), anti-ACTB (Proteintech Group, HRP-60008), anti-rabbit IgG (HRP conjugated; GeneTex, GTX221666-01), and anti-mouse IgG (HRP conjugated; GeneTex, GTX221667-01). ..

Incubation:

Article Title: Identification of Novel Gene Signature Predicting Lymph Node Metastasis in Papillary Thyroid Cancer via Bioinformatics Analysis and in vitro Validation
Article Snippet: .. Tissue wax samples of three groups namely normal, non-LNM and LNM including 12 tissue samples respectively were heated in citrate buffer for 15 min and rinsed using PBS after soaking in xylene for 40 min and in anhydrous ethanol for 20 min. Then the sections were incubated with primary antibodies including anti-MET (Proteintech, 25869-1-AP, PBS 1:500 dilution), anti-FN1 (Proteintech, 15613-1-AP, PBS1:300 dilution), anti-MPZL2 (Proteintech, 11787-1-AP, PBS 1:200 dilution), anti-PDLIM4 (ThermoFisher, bs-6093R, PBS 1:200 dilution), anti-CLDN10 (ThermoFisher, bs-13739R, PBS 1:200 dilution), and anti-COL8A2 (Affinity Biosciences, DF8903, PBS 1:100 dilution) at 4 °C overnight and goat anti-mouse/rabbit IgG polymer antibody (Immunoway, RS0011, PBS 1:100 dilution) was then added and incubated for 1 h at room temperature after three times washing. ..

Polymer:

Article Title: Identification of Novel Gene Signature Predicting Lymph Node Metastasis in Papillary Thyroid Cancer via Bioinformatics Analysis and in vitro Validation
Article Snippet: .. Tissue wax samples of three groups namely normal, non-LNM and LNM including 12 tissue samples respectively were heated in citrate buffer for 15 min and rinsed using PBS after soaking in xylene for 40 min and in anhydrous ethanol for 20 min. Then the sections were incubated with primary antibodies including anti-MET (Proteintech, 25869-1-AP, PBS 1:500 dilution), anti-FN1 (Proteintech, 15613-1-AP, PBS1:300 dilution), anti-MPZL2 (Proteintech, 11787-1-AP, PBS 1:200 dilution), anti-PDLIM4 (ThermoFisher, bs-6093R, PBS 1:200 dilution), anti-CLDN10 (ThermoFisher, bs-13739R, PBS 1:200 dilution), and anti-COL8A2 (Affinity Biosciences, DF8903, PBS 1:100 dilution) at 4 °C overnight and goat anti-mouse/rabbit IgG polymer antibody (Immunoway, RS0011, PBS 1:100 dilution) was then added and incubated for 1 h at room temperature after three times washing. ..



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Multi-omic approach to identify miR-411ed <t>MET-independent</t> DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, <t>P-MET,</t> <t>STAT3</t> and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.
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Multi-omic approach to identify miR-411ed <t>MET-independent</t> DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, <t>P-MET,</t> <t>STAT3</t> and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.
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Image Search Results


Multi-omic approach to identify miR-411ed MET-independent DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, P-MET, STAT3 and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.

Journal: bioRxiv

Article Title: A multi-omics approach to identify the impact of miR-411ed on NSCLC TKI resistance

doi: 10.64898/2026.03.31.715663

Figure Lengend Snippet: Multi-omic approach to identify miR-411ed MET-independent DEGs. A) Schema for the multi-omics approach scr-/miR-411ed DMSO (comparison 1) and scr-/miR-411ed MET-inhibited (comparison 2). B) Volcano plot of RNAseq DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreased genes (<0.05 p.adj. and log2FC < -0.58) are in red and significantly increased genes (<0.05 p.adj. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). C) Volcano plot of proteomics DMSO and MET-inhibited scr vs. miR-411ed (left). Significantly decreasing genes (<0.05 p.val. and log2FC < -0.58) are in red and significantly increasing genes (<0.05 p.val. and log2FC > 0.58) are in blue. Venn diagram comparison of MET-inhibited and DMSO DEGs (right). D) IPA analysis of the top 5 pathways for RNAseq MET-independent genes. E) IPA analysis of the top 5 pathways for proteomics MET-independent genes. F) IsoTar prediction of miR-411ed targets overlapped with RNAseq and proteomics DEGs. G) Heatmap of miR-411ed targets identified in the ERK/MAPK pathway scaled to z-score. H) Western blot of MET, P-MET, STAT3 and GAPDH as loading control. I) Relative densitometry normalized to GAPDH of STAT3. Student’s T-test determined the P-value. *= p.val< 0.05.

Article Snippet: The antibodies used are P-MET (Invitrogen #700139), MET (Cell Signaling #4560), STAT3 (Cell Signaling #7907), and GAPDH (Cell Signaling #3683).

Techniques: Biomarker Discovery, Comparison, RNA sequencing, Western Blot, Control